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Confluence of AI, Machine, and Deep Learning in Cyber Forensics

of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build;

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Confluence of AI, Machine, and Deep Learning in Cyber Forensics

of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build;

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Machine Learning for Authorship Attribution and Cyber Forensics

investigated from two perspectives: the crime and the criminal. AI and machine learning methods are applied to detect illegal and criminal activities;

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Handbook of Big Data Analytics and Forensics

cyberattacks against CPS. The performance of a scalable clustering algorithm for CPS's cyber threat hunting and the usefulness of machine learning;

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Machine Learning for Cyber Agents

The cyber world has been both enhanced and endangered by AI. On the one hand, the performance of many existing security services has been;

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Hands-On Artificial Intelligence on Amazon Web Services

introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services;

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Artificial Intelligence

From humble evolutions in research papers and labs, artificial intelligence (AI)-which encompasses Machine Learning (ML) and Deep Learning;

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Cyber Security Cryptography and Machine Learning

This book constitutes the proceedings of the first International Symposium on Cyber Security Cryptography and Machine Learning, held;

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Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches

Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications;

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Cyber and Digital Forensic Investigations

users and organizations can prepare for potential negative events. Adopting an experiential learning approach, this book describes how cyber;

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Artificial Intelligence Technology

learning framework, Huawei MindSpore AI development framework, Huawei Atlas computing platform, Huawei AI open platform for smart terminals, and;

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Artificial Intelligence, Machine Learning, and Deep Learning

This book begins with an introduction to AI, followed by machine learning, deep learning, NLP, and reinforcement learning. Readers will;

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Machine Learning and Deep Learning in Real-Time Applications

Artificial intelligence and its various components are rapidly engulfing almost every professional industry. Specific features of AI that;

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Applied Machine Learning for Health and Fitness

scientist, machine learning practitioner or anyone interested in AI applications. These ML models and methods can be used to create solutions for AI;

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Reinforcement Learning for Cyber-Physical Systems

of reinforcement learning (RL) and cyber-physical systems (CPSs). Rooted in behavioral psychology, RL is one of the primary strands of machine learning;

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Reinforcement Learning for Cyber-Physical Systems

of reinforcement learning (RL) and cyber-physical systems (CPSs). Rooted in behavioral psychology, RL is one of the primary strands of machine learning;

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Machine Learning and AI for Healthcare

in massive data, machine learning, and AI ethics. It covers new topics in managing the complexities of massive data, and provides examples of complex;

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Beginning Artificial Intelligence with the Raspberry Pi

AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action;

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Deep Learning and the Game of Go

applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics;

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Adversary-Aware Learning Techniques and Trends in Cybersecurity

This book is intended to give researchers and practitioners in the cross-cutting fields of artificial intelligence, machine learning (AI/ML;

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Artificial Intelligence for IoT Cookbook

AI techniques that facilitate analytics and learning in various IoT applications. Using a recipe-based approach, the book will take you;

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The Development of Deep Learning Technologies

extraction and transformation. The extensive use and huge success of deep learning in speech, CV, and NLP have led to significant advances toward the;

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Reinforcement Learning

learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before;

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Artificial Intelligence and Deep Learning in Pathology

knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general;

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Advances in Applications of Data Driven Computing

This book aims to foster machine and deep learning approaches to data-driven applications, in which data governs the behaviour;

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Artificial Intelligence with Python Cookbook

to build AI solutions for images, text, sounds, and images Implement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree;

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Zai:Deep Reinforcement Learning i_p

cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along;

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